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#Correlations#

This is a handy tool for finding uncorrelated assets.

The tool allows you to specify a list of symbols and a list of market regimes. It then:

  • Downloads historical prices for your symbols from Yahoo
  • Computes price movement correlations between the assets
  • Saves the correlation matrix for each regime as a CSV file (optionally an XLS)

##Usage##

First, create a new directory

cd correlations
mkdir example

Next, create a symbols.txt file with one symbol per line

AAPL
AMZN
DELL

Next create a regimes.txt file. Here is the format:

########################################
# Market Regimes
# One per line. Format:
# YYYY-MM-DD to YYYY-MM-DD : <name>
########################################
2008-10-05 to 2009-03-06 : Bear
2009-03-06 to 2012-03-27 : Bull

Next, run the app:

cd example
python ..\corr.py 10

The ndays argument tells the script how to aggregate prices when computing the correlations.

You'll see some logging:

INFO:root:computing 10-day correlations between 2008-10-05 00:00:00 and 2009-03-06 00:00:00
INFO:root:loading AAPL for 2008-10-05 00:00:00 to 2009-03-06 00:00:00
INFO:root:105 rows after truncating
INFO:root:16 rows after downsampling
INFO:root:loading AMZN for 2008-10-05 00:00:00 to 2009-03-06 00:00:00
INFO:root:105 rows after truncating
INFO:root:16 rows after downsampling
INFO:root:loading DELL for 2008-10-05 00:00:00 to 2009-03-06 00:00:00
INFO:root:105 rows after truncating
INFO:root:16 rows after downsampling
INFO:root:wrote corr_2008-10-05_2009-03-06_10-day_Bear.csv
INFO:root:computing 10-day correlations between 2009-03-06 00:00:00 and 2012-03-27 00:00:00
INFO:root:loading AAPL for 2009-03-06 00:00:00 to 2012-03-27 00:00:00
INFO:root:772 rows after truncating
INFO:root:112 rows after downsampling
INFO:root:loading AMZN for 2009-03-06 00:00:00 to 2012-03-27 00:00:00
INFO:root:772 rows after truncating
INFO:root:112 rows after downsampling
INFO:root:loading DELL for 2009-03-06 00:00:00 to 2012-03-27 00:00:00
INFO:root:772 rows after truncating
INFO:root:112 rows after downsampling
INFO:root:wrote corr_2009-03-06_2012-03-27_10-day_Bull.csv

And one CSV file for each regime:

corr_2008-10-05_2009-03-06_10-day_Bear.csv
corr_2009-03-06_2012-03-27_10-day_Bull.csv

Open the CSV files to see the correlation matrix:

        AAPL	    AMZN	      DELL
AAPL	1	        0.182414184	  0.533195992
AMZN	0.182414184	1	          -0.325296934
DELL	0.533195992	-0.325296934  1

#License# Copyright (c) 2012 Kevin T. Manley

Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

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Tool for discovering uncorrelated assets across market regimes

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